Learn R Programming
⚠️There's a newer version (0.9-15) of this package.Take me there.

ipred (version 0.6-14)

Improved Predictors

Description

Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.

Copy Link

Version

Install

install.packages('ipred')

Monthly Downloads

149,326

Version

0.6-14

License

GPL

Maintainer

Andrea Peters

Last Published

July 18th, 2024

Functions in ipred (0.6-14)

summary.classbagg

Summarising Bagging
sbrier

Model Fit for Survival Data
varset

Simulation Model
predict.slda

Predictions from Stabilised Linear Discriminant Analysis
prune.classbagg

Pruning for Bagging
kfoldcv

Subsamples for k-fold Cross-Validation
mypredict.lm

Predictions Based on Linear Models
predict.classbagg

Predictions from Bagging Trees
slda

Stabilised Linear Discriminant Analysis
inclass

Indirect Classification
bagging

Bagging Classification, Regression and Survival Trees
summary.inclass

Summarising Inclass
print.classbagg

Print Method for Bagging Trees
predict.inclass

Predictions from an Inclass Object
predict.ipredknn

Predictions from k-Nearest Neighbors
cv

Cross-validated Error Rate Estimators.
bootest

Bootstrap Error Rate Estimators
flist

Create an Object of Class flist
print.inclass

Print Method for Inclass Object
errorest

Estimators of Prediction Error
ipredknn

k-Nearest Neighbour Classification
control.errorest

Control Error Rate Estimators
ipred-internal

Internal ipred functions
rsurv

Simulate Survival Data
print.cvclass

Print Method for Error Rate Estimators
GlaucomaMVF

Glaucoma Database
Smoking

Smoking Styles
DLBCL

Diffuse Large B-Cell Lymphoma
GlaucomaM

Glaucoma Database
GBSG2

German Breast Cancer Study Group 2